John Callegari
Founder at Stealth Startup
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJohn Callegari is a founder and lead data scientist with eight years of industry experience building medical AI that drives clinical decision support and funds growth—he played a pivotal role in securing $23M in Series A financing at ImpriMed. Trained in biophysics and computer science at Yale and Johns Hopkins, he brings deep domain expertise in cancer biology, genomics, and translational research with a track record of peer-reviewed publications and FDA-facing analytics. He has built and deployed a dozen ML models in production for oncology, engineered data pipelines from massive EHR and NGS sources, and developed specialized TensorFlow modules to handle missing labels and per-patient inferencing. Equally at home in research and production, he reduced ML research costs by 90% in prior roles and open-sourced a Ray-based library for distributed ML pipelines used for large-scale algorithmic experiments. Based in Seattle, he’s now founding a stealth medical AI startup aiming to automate the scientific method to improve human health.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Cellular and Molecular Medicine, Doctor of Philosophy (Ph.D.), Cellular and Molecular Medicine at The Johns Hopkins University School of MedicineBS, Molecular Biophysics and Biochemistry, BS, Molecular Biophysics and Biochemistry at Yale University
English, French
Github Skills (41)
python10
data-science10
statistics10
machine-learning10
data-analysis10
scikit-learn9
scriptable8
knowledge-graph8
knowledge-management8
notebook8
self-hosting7
trilium6
automl6
mobile-application6
markdown6
Programming languages (6)
Github contributions (5)
ajcallegari/scikit-multichannel
Jun 2020 - Dec 2022
Python library for multichannel machine learning and semi-auto-ML.
Contributions:3 releases, 246 commits, 233 pushes in 2 years 5 months
automlmachine-learningpythonsemi-auto-ml
ajcallegari/aws-elastic-beanstalk-express-js-sample
Apr 2024 - Apr 2024
Sample web application for the AWS DevOps Engineer Learning Path.
Contributions:1 push in 1 day
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